Andreas Emrich, DFKI

iPRODICT – Big Data Analytics in the Steel Production Industry

• Specific Big Data Challenges in the Steel Industry
• Goals of the Project iPRODICT: Provide prescriptive analytics throughout steel casting, quality management and batch planning
• Architectural Considerations: Integration of Learning Approaches and Complex Event Processing
• Specific Analytical Challenges: Prediction of quality defects and post-processing steps, Process recommendations for individual order scenarios
• Current State of the Project & Outlook

CV:

Andreas Emrich is a researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) and works more than 15 years in research projects. He received a Masters degree in Business Administration and Computer Science (“Dipl.-Wirtsch.-Ing.”) from University of Kaiserslautern. His research interests are intelligent systems, recommender systems and big data technologies in Business Process Management. He led several local, national and international research and industry projects and co-authored more than 50 peer-reviewed papers. Andreas is member of IEEE, ACM, GI and AIS.